• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
  • Course subject Computer Science
  • Areas of interest Computer Science
  • Academic career PGRD
  • Course convener
    • Dr Peter Christen
  • Mode of delivery In Person
  • Offered in First Semester 2014
    See Future Offerings

Large amounts of data are increasingly being collected by public and private organisations, and research projects.  Additionally, the Internet provides a very large source of information about almost every aspect of human life and society.

This course provided a practical focus on the technology and research in the area.  It focuses on the algorithms and techniques and less on the mathematical and statistical foundations.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Students participating this course will learn about:

  • The data mining process and important issues around data cleaning, pre-processing and integration;
  • The main concepts of data warehousing;
  • The principle algorithms and techniques used in data mining, such as clustering, association mining, classification and prediction;
  • The various application and current research areas in data mining, such as Web and text mining, stream data mining;
  • Ethical and social impacts of data mining.
  • Practical lab sessions using a state-of-the-art open source data mining tool will allow students to gain expertise in 'hands on data' mining, while tutorial sessions covering overview research papers will highlight important data mining issues in more depth.

Other Information

This course can be studied for credit in the following programs:
Master of Computing/Master of Comuting Honours
Graduate Studies
and as an elective in other programs.

Indicative Assessment

Two assignments (15% each); Paper presentation and report (20%); Final examination (50%)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

One two-hour lecture per week, four laboratories and four or five tutorials

Requisite and Incompatibility

To enrol in this course you must be studying Master of Computing 7705 or Master of Computing 7706.

Prescribed Texts

Han, Kamber and Pei: Data Mining - Concepts and Techniques, 3rd edition, 2011.

Preliminary Reading

http://cs.anu.edu.au/student/comp8400/links.php

Assumed Knowledge

Assumed knowledge is equivalent to having studied at least an introductory database course and intermediate programming and data structure courses.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
1994-2003 $2916
2004 $2916
2005 $2916
2006 $2916
2007 $2916
2008 $2916
2009 $2916
2010 $2916
2011 $2946
2012 $2946
2013 $2946
2014 $2952
International fee paying students
Year Fee
1994-2003 $3450
2004 $3450
2005 $3450
2006 $3534
2007 $3618
2008 $3618
2009 $3618
2010 $3750
2011 $3756
2012 $3756
2013 $3756
2014 $3762
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3415 17 Feb 2014 07 Mar 2014 31 Mar 2014 30 May 2014 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions